In this paper, a human action recognition method is presented in which pose representation is based on the contour points of the human silhouette and actions are learned by making use of sequences of multi-view key poses. Our contribution is…

The prey-predator pursuit problem is referenced many times in literature. It is a generic multi-agent problem whose solutions could by applied to many particular instances. Solutions proposed usually apply non-supervised learning algorithms to train prey and predators. Most of these…

In this paper, we describe the process to extend TERSEO
system to Italian using an automatic porting to this new
language, as it was performed to English., In questo report viene descritto il processo in base al
quale TERSEO, un…

This paper surveys the problems of identity in a number of Shakespeare’s plays, such as The Taming of the Shrew, The Comedy of Errors, As You Like It, Twelfth Night, The Merchant of Venice, Romeo and Juliet, Hamlet, and Othello.…

This paper outlines and exemplifies the features of Learning Study, a form of teacher action research which has the potential to create the conditions necessary for building pedagogical knowledge. Learning Study is a coalescence of lesson study, design based research…

Within the context of globalisation, the diversification of learning contexts and the implementation of national and transnational policy measures concerning teacher education, teaching competences and lifelong learning, teacher identity has emerged as being problematic and paradoxical. Drawing on recent research…

The extension to new languages is a well known bottleneck for rule-based systems. Considerable human effort, which typically consists in re-writing from scratch huge amounts of rules, is in fact required to transfer the knowledge available to the system from…

Characterizations of the containment of a convex set either in an arbitrary convex set or in the complement of a finite union of convex sets (i.e., the set, described by reverse-convex inequalities) are given. These characterizations provide ways of verifying…

In this article we describe a novel algorithm that allows fast and continuous learning on a physical robot working in a real environment. The learning process is never stopped and new knowledge gained from robot-environment interactions can be incorporated into…

This paper presents a new system for recognition and imitation of a set of facial expressions using the visual information acquired by the robot. Besides, the proposed system detects and imitates the interlocutor’s head pose and motion. The approach described…